Getting started with MLflow for machine learning and AI development

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  Date: March 25th, 12:00pm-1:00pm ET

   

  Presenters: Jinhui Qin (SHARCNET)

   

  Reproducibility and experiment tracking are essential in machine learning workflows. MLflow is an open-source platform for experiment tracking and model management in machine learning and AI development. This webinar introduces MLflow with quickstart examples running on the clusters, focusing on a lightweight setup with local storage. The examples will be demonstrated in Jupyter notebooks and in batch jobs. 

  Video link:  Zoom link.

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